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Ship course stabilization by feedback linearization with adaptive object model

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The algorithm of ship course stabilization herein presented is based on a feedback linearization controller with adaptive object model. The described method, consisting in current approximation of unknown object model functions by neuro-fuzzy approximators, represents a new generation of adaptive control methods. The implementation of this algorithm, which may constitute an executive module of a navigational decision support system, will contribute to a higher degree of automation and navigational safety improvement.
Rocznik
Tom
Strony
14--19
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Institute of Marine Technologies, Faculty of Navigation, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, POLAND
Bibliografia
  • 1. Borkowski P.: Data fusion in a navigational decision support system on a sea-going vessel. Polish Maritime Research vol. 19, no. 4(76), 78, 2012
  • 2. Borkowski P., Zwierzewicz Z.: Ship course-keeping algorithm based on knowledge base. Intelligent Automation and Soft Computing vol. 17, no. 2, 149, 2011
  • 3. De Wit C., Oppe J.: Optimal collision avoidance in unconfined waters. Journal of the Institute of Navigation, vol. 26, no. 4, 296, 1979
  • 4. Fabri S., Kadirkamanathan V.: Functional adaptive control. Springer, Londyn 2001
  • 5. Farrell J., Polycarpou M.: Adaptive approximation based control. John Wiley, Hoboken 2006
  • 6. Khalil H.: Nonlinear systems. Prentice Hall, Upper Saddle River 2002
  • 7. Marquez H.: Nonlinear control systems. John Wiley, New Jork 2003
  • 8. Perez T.: Ship motion control. Springer, Londyn 2005
  • 9. Pietrzykowski Z., Borkowski P., Wołejsza P.: Marine integrated navigational decision support system. Telematics in the transport environment, Communications in Computer and Information Science series no. 329, Springer, Berlin, 284, 2012
  • 10. Pietrzykowski Z., Borkowski P. et al.: A method and system of navigational decision support in the process of safe vessel navigation., International patent application under PCT procedure, no. PCT/PL2010/000112, 08-11-2010
  • 11. Pietrzykowski Z., Magaj J., Wołejsza P., Chomski J.: Fuzzy logic in the navigational decision support process onboard a seagoing vessel. Lecture Notes in Artificial Intelligence series no. 6113, Springer, Berlin, 185, 2010
  • 12. Slotine J.E., Li W.: Applied nonlinear control. Prentice Hall, New Jersey 1991
  • 13. Stateczny A., Kazimierski W.: Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars. Proceedings of the International Radar Symposium, Wrocław, 242, 2008
  • 14. www.navdec.com
  • 15. Zwierzewicz Z.: Nonlinear adaptive tracking-control synthesis for functionally uncertain systems. International Journal of Adaptive Control and Signal Processing vol. 24, no. 2, 96, 2010
  • 16. Zwierzewicz Z.: Ship course-keeping via nonlinear adaptive control synthesis. International Journal of Factory Automation no. 2, 102, 2007
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-53d7bf95-3e70-4358-800d-3846b4f77aaa
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